Yash Mehta

614 total citations
6 papers, 318 citations indexed

About

Yash Mehta is a scholar working on Clinical Psychology, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Yash Mehta has authored 6 papers receiving a total of 318 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Clinical Psychology, 3 papers in Artificial Intelligence and 2 papers in Social Psychology. Recurrent topics in Yash Mehta's work include Personality Traits and Psychology (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Emotion and Mood Recognition (2 papers). Yash Mehta is often cited by papers focused on Personality Traits and Psychology (4 papers), Sentiment Analysis and Opinion Mining (3 papers) and Emotion and Mood Recognition (2 papers). Yash Mehta collaborates with scholars based in United Kingdom, Singapore and United States. Yash Mehta's co-authors include Erik Cambria, Alexander Gelbukh, Navonil Majumder, Clemens Stachl, Yang Li, Radha Shankarmani, Björn W. Schuller and Konstantin Markov and has published in prestigious journals such as Neurocomputing, Future Generation Computer Systems and Artificial Intelligence Review.

In The Last Decade

Yash Mehta

6 papers receiving 306 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yash Mehta United Kingdom	4	137	134	98	69	30	6	318
Ugur Kursuncu United States	8	61 0.4×	191 1.4×	172 1.8×	46 0.7×	49 1.6×	16	362
Amna Noureen Pakistan	5	78 0.6×	183 1.4×	48 0.5×	31 0.4×	42 1.4×	7	326
Rini Wongso Indonesia	6	77 0.6×	154 1.1×	54 0.6×	24 0.3×	79 2.6×	15	290
Zheng Luo China	11	45 0.3×	40 0.3×	60 0.6×	71 1.0×	42 1.4×	45	311
Marcin Skowron Austria	9	43 0.3×	150 1.1×	60 0.6×	38 0.6×	38 1.3×	32	337
Guillaume Durand Canada	9	86 0.6×	73 0.5×	37 0.4×	15 0.2×	71 2.4×	42	321
Justyna Sarzyńska‐Wawer Poland	7	28 0.2×	148 1.1×	41 0.4×	22 0.3×	35 1.2×	17	297
Lifa Wu China	10	96 0.7×	115 0.9×	56 0.6×	21 0.3×	78 2.6×	22	306
Chris Sumner United States	5	121 0.9×	131 1.0×	70 0.7×	34 0.5×	105 3.5×	6	351
Bruce Phillips United States	6	33 0.2×	81 0.6×	78 0.8×	54 0.8×	22 0.7×	8	332

Countries citing papers authored by Yash Mehta

Since Specialization

Citations

This map shows the geographic impact of Yash Mehta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yash Mehta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yash Mehta more than expected).

Fields of papers citing papers by Yash Mehta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yash Mehta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yash Mehta. The network helps show where Yash Mehta may publish in the future.

Co-authorship network of co-authors of Yash Mehta

This figure shows the co-authorship network connecting the top 25 collaborators of Yash Mehta. A scholar is included among the top collaborators of Yash Mehta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yash Mehta. Yash Mehta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Mehta, Yash, et al.. (2023). A Transfer Learning Approach for Classification of Knee Osteoarthritis. 1–5. 1 indexed citations

2.

Mehta, Yash, et al.. (2022). Future-generation personality prediction from digital footprints. Future Generation Computer Systems. 136. 322–325. 2 indexed citations

3.

Li, Yang, et al.. (2022). Multitask learning for emotion and personality traits detection. Neurocomputing. 493. 340–350. 37 indexed citations

4.

Mehta, Yash, et al.. (2021). Stock Price Prediction using Machine Learning and Sentiment Analysis. 2021 2nd International Conference for Emerging Technology (INCET). 1–4. 15 indexed citations

5.

Mehta, Yash, et al.. (2020). Bottom-Up and Top-Down: Predicting Personality with Psycholinguistic and Language Model Features. 1184–1189. 67 indexed citations

6.

Mehta, Yash, Navonil Majumder, Alexander Gelbukh, & Erik Cambria. (2019). Recent trends in deep learning based personality detection. Artificial Intelligence Review. 53(4). 2313–2339. 196 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact